Build log
Every project on Square 1, shipped in public.
Ship: Competitions Season 1 — four predict-and-report contests, entries open 5 OctoberMembersFree
Discover communities
Show your work, get unstuck, study with people on the same track. Rooms Square1 Ai runs, and groups members built for an exam, a project, a cohort, a city.
0 online now1 post this week1 group active this week
Build a group How it works
How the Community works.The short version.
It sits between the courses, the exam prep and the competitions: what you learn there gets built, asked about and reviewed here.
Rooms and groups
Build log and Ask are rooms Square1 Ai runs, always on. Everything else is a group a member built: a study group for an exam, a project team with a ship date, a cohort, a meetup, a circle.
Three kinds of post
Shipsomething running, with the link.Aska question; the answer gets marked so the next person finds it.Updatewhat you’re working on.The weekly thread
Every Monday a group with the thread switched on asks “What are you building this week?” One reply each: what you’re on, what’s blocking you, one thing you shipped. It closes Sunday night.
Your work follows you
Your profile carries your stack, your GitHub, the courses you finished and the medals you won in competitions. Browse any public group; join it to read its threads, post and chat.
House rules: review one before you ask for one. One question per post, code in a code block. Report anything that shouldn’t be here.
Happening now
5 threads- UpdateWhat are you building this week? · 2 NovBuild log · Square1 Ai team · 2 Nov
- UpdateWhat are you building this week? · 26 OctBuild log · Square1 Ai team · 26 Oct
- UpdateWhat are you building this week? · 19 OctBuild log · Square1 Ai team · 19 Oct
- UpdateWhat are you building this week? · 12 OctBuild log · Square1 Ai team · 12 Oct
- UpdateWhat are you building this week? · 5 OctBuild log · Square1 Ai team · 5 Oct
Rooms and groups
Find the people on your path.Join any public group.
Ranked by activity: the rooms Square1 Ai runs first, then the groups that moved most recently.
Kind of space
Subject
Rooms Square1 Ai runs
Always onMembersFree
Groups people built
10 in allFull Stack Developers
Real apps, front to back, with AI in the loop: repos, code review and the deploy that finally works.
Show the stack: what's your app built on, and what would you swap?MembersFree
Agentic AI Builders
Agents that plan, call tools and recover when a tool fails: loops, memory, MCP, and the traces that show what happened.
What does your agent do when the tool call fails?MembersFree
Cybersecurity
Labs, certs and defence: Security+, ISC2 CC and the AI side of security, worked through together.
Which cert are you sitting first, and when?MembersFree
Generative AI Builders
Build with LLMs and diffusion models: prompts, pipelines, evals, and the projects that come out of them.
What's the first thing that broke in your LLM app?MembersFree
Data Science Learners
Notebooks, competitions and the case studies: learn data science by scoring on the board and explaining what you did.
Rental-price playground: post your score and what you triedMembersFree
LLM Agent Architects
The production side of LLM systems: RAG that retrieves the right thing, evals you can trust, serving that doesn't bankrupt you.
RAG or fine-tune: what did you choose last time, and would you again?MembersFree
Artificial Intelligence
The home base: foundations, the AI tutor, the first cert, and the question you were embarrassed to ask anywhere else.
What are you learning AI for? One line on the job, the project or the problemMembersFree
Machine Learning
Training runs debugged in public: models, metrics, the pipeline around them, and the competitions that score them.
Debug a training run in public: paste the curve or the metric that won't moveMembersFree
AI Product Managers
Specs, roadmaps and the hard calls: what the AI decides, what a human checks, and how you know it's working.
Post a spec you're writing: what's the AI deciding, and what does a human check?MembersFree
Computer Vision
Datasets, models and results for people teaching machines to see — from a first classifier to a deployed detector.
Post your dataset problem: what are you labelling, and what's wrong with it?MembersFree
Your group is waiting.
Every track has its people. Sign up and you are in your track’s group and in Ask from day one.